Q1R642 AF NFT

Large-conductance mechanosensitive channel

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeiecpa5qnlz2fxrfjm4dxmremjmfepq7tticcdvdzmynwbdjhkrkiq/metadata.json
IPFS of structure file: 
bafybeiehmhibzx4zueniix5swhxfcxnz4rpwu3lshhjjicq26gltkocvb4/AF-Q1R642-F1-model_v2.pdb
First NFT owner address (eip-55): 
0xBF0D2e107Ce1EcD2C4369B042274201DB719AaAF
First NFT owner address (bech32): 
genesis1huxjuyruu8kd93pknvzzyapqrkm3n240z6jrgl
Current NFT ID #244693 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
244693
Accession (UniProt):
Q1R642
Name::
Large-conductance mechanosensitive channel
Experimental Method:
Predicted structure
Sequence source:
ESCHERICHIA COLI (STRAIN UTI89 / UPEC)

NFT data

MolNFT AF v1 is an AlphaFold database of AI predicted Swiss-Prot protein sequences preserved as regular ERC-721 NFT tokens on GenesisL1 blockchain for public free use, research and entertainment:

https://alphafold.ebi.ac.uk/
Jumper, J., Evans, R., Pritzel, A. et al. Highly accurate protein structure prediction with AlphaFold. 
Nature 596, 583–589 (2021). https://doi.org/10.1038/s41586-021-03819-2

MOLNFT Q1R642 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q1R642|MSCL_ECOUT Large-conductance mechanosensitive channel OS=Escherichia coli (strain UTI89 / UPEC) OX=364106 GN=mscL PE=3 SV=1 MSIIKEFREFAMRGNVVDLAVGVIIGAAFGKIVSSLVADIIMPPLGLLIGGIDFKQFAVTLREAQGDIPAVVMHYGVFIQNVFDFLIVAFAIFMAIKLINKLNRKKEEPAAATPAPTKEEVLLTEIRDLLKEQNNRS